نتایج جستجو برای: variable cross
تعداد نتایج: 735960 فیلتر نتایج به سال:
In this article, small scale effects on free vibration analysis of non-uniform nanobeams is discussed. Small scale effects are modelled after Eringen’s nonlocal elasticity theory while the non-uniformity is presented by exponentially varying width among the beams length with constant thickness. Analytical solution is achieved for free vibration with different boundary conditions. It is shown th...
this thesis attempts to investigate the effects of prelistening activities on enhancing iranian efl learners` listening comprehension. the present study investigated ways in which learners` background knowledge could be activated in order to enhance their l2 listening comprehension by limiting the number of possible text interpretations prior to listening. the experiments conducted in this stud...
BACKGROUND The national tuberculosis strain typing service (TB-STS) was introduced in England in 2010. The TB-STS involves MIRU-VNTR typing of isolates from all TB patients for the prospective identification, reporting and investigation of TB strain typing clusters. As part of a mixed-method evaluation, we report on a repeated cross-sectional survey to illustrate the challenges surrounding the ...
Two-mode squeezed states are scalable and robust entanglement resources for continuous-variable hybrid quantum information protocols at a distance. We consider the effect of linear cross talk in multimode distribution two-mode propagating through parallel similar channels. First, to reduce degradation distributed Gaussian entanglement, we show that initial squeezing entering channel should be o...
A multivariate expectile regression model is proposed to analyze the tail events of large cross-sectional and spatial data, when the tail events are linked by a latent factor structure. The computational advantage of the method is demonstrated, and the estimation risk is analyzed for every fixed number of iteration and fixed sample size, when the latent factors are either exactly or approximate...
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